Year of contribution at the CONTRIBUTORS.yaml

All the CONTRIBUTORS.yaml files across all subjects have been extended with a new attribute year. This year means the year of the contribution.
It will help us to give recognition to the contributors.
By default, it has been set to 2022 (it was much work to find out when the last contribution was submitted for each one of the several contributors across the 60 subjects).

It has been also changed in the template of the CONTRIBUTORS file in the templates folder.

Contributors: Updated the service for checking your schema

In order to create a new data model or to update an existing one, Check your schema before contributing it, to check the schema on the front page.

The service has been updated to check not only the attributes of the payload but also the schema metadata (schema version, license, derivedFrom, title, description) so it will be easier to complete it before submission.

The code is available at the directory utils in the data-model repository.

Presentations of the Smart Data Models session at FIWARE summit

Here you can have the presentation of the people presenting at the Smart Data Models session of the FIWARE summit.

1.- Fernando Lopez (FIWARE Foundation) SDMX towards context information: achieving interoperability
2.- David Garcia (NTT Data) Public resources monitoring and management through innovative solutions based on extension of smart data models
3.- Mannix manglani (Mannixonline) TOURISM DATA MODELS
4.- Alberto Abella (FIWARE Foundation) Water data models
5.- Antonino Sirchia (Engineering) How FIWARE and Smart Data Models can make a City resilient on Flooding Risks
6.- Romain Magnani (EGM) The NGSI-LD data lab: an engaging interface for building NGSI-LD data configuration
7.- Clara Pezuela (ATOS) GreenMov: Green and smart mobility services
8.- Andrea Cruciani.(FIWARE SmartAgriFood MSC ) Agrigateway
9.- Hugo Miguel Serra (Deloitte) Smart Buildings data models

Training on Smart Data models

Tomorrow at day 0 of the FIWARE summit there will be a training session about Smart Data Models.
Slides are freely shared here

This training will be delivered face to face.

  • Intro:
    • Board and what is Smart Data Models Program
    • Current Status
    • Contributos and dissemintions
  • Agile standardization
    • Current standardization status
    • M.A.S.: Manifesto for agile standardizationç
    • Standardization in a digital market
  • Data model contents
    • Contents of a data model
    • Schema: review
    • Additional documents: examples, contributors, adopters, notes*
    • Generated documents: model.yaml, examples, README, context
  • Data Model creation
    • Incubated repository.
    • From csv, json or open data portals
    • Tests
  • Data Model moderation
    • Data model moderation
  • Future
    • pysmartdatamodels
    • New services. Integration
    • New data models. Mapping of standardizations
    • Other services for the contributors